Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Deprecate reg:linear' in favor of reg:squarederror'. (#4267)

Browse Source 
* Deprecate `reg:linear' in favor of `reg:squarederror'.
* Replace the use of `reg:linear'.
* Replace the use of `silent`.
This commit is contained in:
Jiaming Yuan
2019-03-17 17:55:04 +08:00
committed by GitHub
parent cf8d5b9b76
commit 29a1356669
34 changed files with 210 additions and 193 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
doc/gpu/index.rst
View File

@@ -92,7 +92,7 @@ Most of the objective functions implemented in XGBoost can be run on GPU. Follo
+-----------------+-------------+
| Objectives | GPU support |
+-----------------+-------------+
| reg:linear | |tick| |
| reg:squarederror| |tick| |
+-----------------+-------------+
| reg:logistic | |tick| |
+-----------------+-------------+

4
doc/parameter.rst
View File

@@ -293,9 +293,9 @@ Learning Task Parameters
************************
Specify the learning task and the corresponding learning objective. The objective options are below:
* ``objective`` [default=reg:linear]
* ``objective`` [default=reg:squarederror]
- ``reg:linear``: linear regression
- ``reg:squarederror``: regression with squared loss
- ``reg:logistic``: logistic regression
- ``binary:logistic``: logistic regression for binary classification, output probability
- ``binary:logitraw``: logistic regression for binary classification, output score before logistic transformation

2
doc/rf.rst
View File

@@ -36,7 +36,7 @@ The following parameters must be set to enable random forest training.
Other parameters should be set in a similar way they are set for gradient boosting. For
instance, ``objective`` will typically be ``reg:linear`` for regression and
instance, ``objective`` will typically be ``reg:squarederror`` for regression and
``binary:logistic`` for classification, ``lambda`` should be set according to a desired
regularization weight, etc.